Personal profile
Research interests
Kheng Cher Yeo, Charles is a senior lecturer in Information Technology in the Faculty of Science and Technology. He is passionate about teaching and has taught hardware, mathematics, networking, software engineering and project management. Charles is also active in research and his research interest is in the areas of intelligent signal processing and control, networking, security and app development. Charles holds a doctorate degree in Engineering and has supervised many students in thesis and research projects.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
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2021 Rainmaker Start-up: ARC Industry Transformation Training Centre - Advanced Manufacturing
Krishnan, K. (Principal Investigator/Chief Investigator A), Elumalai, N. K. (Principal Investigator/Chief Investigator A), Thennadil, S. (Principal Investigator/Chief Investigator A), Shanmugam, B. (Principal Investigator/Chief Investigator A), Azam, S. (Principal Investigator/Chief Investigator A) & Yeo, C. (Co Investigator/Chief Investigator B)
7/10/21 → 31/01/23
Project: Research
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Biosecurity Risk Area Tool for Northern Australia
Sebastian, Y. (Principal Investigator/Chief Investigator A), Yeo, C. (Co Investigator/Chief Investigator B) & Selvarajah, T. (Chief Investigator C)
15/05/25 → 15/11/26
Project: Research
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Towards Efficient Edge Inference: Quantization Alignment Optimization for Multimodal Large Language Models
Yeo, C. (Principal Investigator/Chief Investigator A) & Yu, T. (Student Investigator)
30/08/24 → …
Project: HDR Project › Masters by Research
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Waste from Disasters: Planning to reduce impact and build capacity
Mathur, D. (Principal Investigator/Chief Investigator A), Azam, S. (Co Investigator/Chief Investigator B), Gregory, R. (Chief Investigator C), Sutton, S. (Chief Investigator D) & Yeo, C. (Chief Investigator E)
22/05/25 → 30/06/28
Project: Research
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Exploring personalized federated learning from a distribution-based perspective
Yu, T., Yeo, K. C., Azam, S., Yu, X., Chen, H. & Zhu, X., Nov 2026, In: Pattern Recognition. 179, p. 1-10 10 p., 113774.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Learning to Weigh Waste: A Physics-Informed Multimodal Fusion Framework and Large-Scale Dataset for Commercial and Industrial Applications
Islam, M. A., Karim, W., Alam, M. M., Rahman, S. S., Rahman, M. A., Abian, A. I., Raiaan, M. A. K., Yeo, K. C., Mathur, D. & Azam, S., Mar 2026, (Accepted/In press) In: IEEE Transactions on Big Data. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
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Diffusion-based knowledge distillation for effective multi-organ segmentation with reduced computational time
Raiaan, M. A. K., Rahman, M. A., Azam, S., Yeo, K. C., Sebastian, Y. & Jonkman, M., Nov 2025, In: Computers in Biology and Medicine. 198, p. 1-14 14 p., 111265.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)1 Downloads (Pure) -
Leveraging online video discourse for semi-automated mapping of community gardens
Trinh, T. L., Vu, T. B. M., Tran, T. C., Sebastian, Y., Thuseethan, S. & Yeo, K. C., Dec 2025, In: Urban Forestry and Urban Greening. 116, p. 1-7 7 p., 129234.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
SDN-Enabled IoT Security Frameworks—A Review of Existing Challenges
Mishra, S. R., Shanmugam, B., Yeo, K. C. & Thennadil, S., Mar 2025, In: Technologies. 13, 3, p. 1-38 38 p., 121.Research output: Contribution to journal › Review article › peer-review
Open AccessFile18 Link opens in a new tab Citations (Scopus)169 Downloads (Pure) -
TOM-SSL: Tomato Disease Recognition Using Pseudo-Labelling-Based Semi-Supervised Learning
Nishankar, S., Mithuran, T., Thuseethan, S., Sebastian, Y., Yeo, K. C. & Shanmugam, B., Aug 2025, In: AgriEngineering. 7, 8, p. 1-17 17 p., 248.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)35 Downloads (Pure) -
Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach
Abian, A. I., Khan Raiaan, M. A., Karim, A., Azam, S., Fahad, N. M., Shafiabady, N., Yeo, K. C. & De Boer, F., Dec 2024, In: Frontiers in Computer Science. 6, p. 1-24 24 p., 1438126.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Link opens in a new tab Citations (Scopus)75 Downloads (Pure)
Press/Media
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Artificial intelligence diagnosing lung diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
29/01/25
1 item of Media coverage
Press/Media: Research
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Charles Darwin University Researchers Reveal New Findings on Data Storage (PbDinEHR: A Novel Privacy by Design Developed Framework Using Distributed Data Storage and Sharing for Secure and Scalable Electronic Health Records Management)
Shanmugam, B., Azam, S. & Yeo, K. C.
12/05/23
1 item of Media coverage
Press/Media: Research
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Charles Darwin University: Researchers Train AI to Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
25/01/25
1 item of Media coverage
Press/Media: Research
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KMN 2025: How to practice AI to diagnose lung illnesses with 96.57% accuracy
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
25/01/25
1 item of Media coverage
Press/Media: Research
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AI Trained to Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
24/01/25 → 10/02/25
2 items of Media coverage
Press/Media: Research
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Researchers Train AI To Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
23/01/25
2 items of Media coverage
Press/Media: Research
Thesis
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Iterative learning control for smooth operation of permanent magnet synchronous motors
Yeo, K. (Author), De Boer, F. (Supervisor), 16 Mar 2017Student thesis: Doctor of Philosophy (PhD) - CDU
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